Scientific Programming

Scientific Programming / 2019 / Article

Retraction | Open Access

Volume 2019 |Article ID 9757658 | https://doi.org/10.1155/2019/9757658

Scientific Programming, "Retracted: Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm", Scientific Programming, vol. 2019, Article ID 9757658, 1 page, 2019. https://doi.org/10.1155/2019/9757658

Retracted: Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm

Received28 Jan 2019
Accepted28 Jan 2019
Published08 Apr 2019

Scientific Programming has retracted the article titled “Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm” [1]. The journal understands that the first author was engaged by a subsidiary of AIA Group in China at the time of the study, which was not declared, and AIA Group Limited believe their data may have been used without permission. The authors say no data from AIA were used, but because the information on data collection and the methods may be unclear, they agreed to retraction to avoid any misunderstanding.

References

  1. H. Zhong and J. Xiao, “Enhancing health risk prediction with deep learning on big data and revised fusion node paradigm,” Scientific Programming, vol. 2017, Article ID 1901876, 18 pages, 2017. View at: Publisher Site | Google Scholar

Copyright © 2019 Scientific Programming. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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